Advances in Stochastic Simulation Methods
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Published By Birkhäuser Boston

9781461270911, 9781461213185

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

On the Criteria for Experimental Design in Nonlinear Error-In-Variables Models

Advances in Stochastic Simulation Methods ◽

10.1007/978-1-4612-1318-5_9 ◽

2000 ◽

pp. 153-163 ◽

Cited By ~ 16

Author(s):

Silvelyn Zwanzig

Keyword(s):

Experimental Design ◽

Nonlinear Error ◽

Error In Variables

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D-Optimal Designs for Quadratic Regression Models

Advances in Stochastic Simulation Methods ◽

10.1007/978-1-4612-1318-5_12 ◽

2000 ◽

pp. 189-195 ◽

Cited By ~ 1

Author(s):

E. E. M. van Berkum ◽

B. Pauwels ◽

P. M. Upperman

Keyword(s):

Regression Models ◽

Optimal Designs ◽

Quadratic Regression

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Monte Carlo Algorithms For Neumann Boundary Value Problem Using Fredholm Representation

Advances in Stochastic Simulation Methods ◽

10.1007/978-1-4612-1318-5_2 ◽

2000 ◽

pp. 17-28

Author(s):

Y. N. Kashtanov ◽

I. N. Kuchkova

Keyword(s):

Monte Carlo ◽

Boundary Value Problem ◽

Boundary Value ◽

Neumann Boundary ◽

Neumann Boundary Value Problem ◽

Monte Carlo Algorithms

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The Multilevel Method of Dependent Tests

Advances in Stochastic Simulation Methods ◽

10.1007/978-1-4612-1318-5_4 ◽

2000 ◽

pp. 47-61 ◽

Cited By ~ 13

Author(s):

Stefan Heinrich

Keyword(s):

Multilevel Method

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Simple Efficient Estimation for Three-Parameter Lognormal Distributions with Applications to Emissions Data and State Traffic Rate Data

Advances in Stochastic Simulation Methods ◽

10.1007/978-1-4612-1318-5_22 ◽

2000 ◽

pp. 373-384

Author(s):

N. Balakrishnan ◽

Jun Wang

Keyword(s):

Efficient Estimation ◽

Rate Data ◽

Lognormal Distributions ◽

Traffic Rate

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Bias Constrained Minimax Robust Designs for Misspecified Regression Models

Advances in Stochastic Simulation Methods ◽

10.1007/978-1-4612-1318-5_7 ◽

2000 ◽

pp. 117-133

Author(s):

Douglas P. Wiens

Keyword(s):

Regression Models ◽

Robust Designs ◽

Constrained Minimax

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A Comparative Study of MV- and SMV-Optimal Designs for Binary Response Models

Advances in Stochastic Simulation Methods ◽

10.1007/978-1-4612-1318-5_8 ◽

2000 ◽

pp. 135-151 ◽

Cited By ~ 2

Author(s):

J. López-Fidalgo ◽

W. K. Wong

Keyword(s):

Comparative Study ◽

Optimal Designs ◽

Binary Response ◽

Response Models ◽

Binary Response Models

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Selecting from Normal Populations the One with the Largest Absolute Mean: Common Unknown Variance Case

Advances in Stochastic Simulation Methods ◽

10.1007/978-1-4612-1318-5_16 ◽

2000 ◽

pp. 283-292 ◽

Cited By ~ 1

Author(s):

S. Jeyaratnam ◽

S. Panchapakesan

Keyword(s):

Normal Populations ◽

Unknown Variance ◽

The One

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On Generating and Classifying All qn-m-l Regularly Blocked Factional Designs

Advances in Stochastic Simulation Methods ◽

10.1007/978-1-4612-1318-5_10 ◽

2000 ◽

pp. 165-176

Author(s):

P. J. Laycock ◽

P. J. Rowley

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Higher Order Moments of Order Statistics from the Pareto Distribution and Edgeworth Approximate Inference

Advances in Stochastic Simulation Methods ◽

10.1007/978-1-4612-1318-5_14 ◽

2000 ◽

pp. 207-244 ◽

Cited By ~ 2

Author(s):

Aaron Childs ◽

K. S. Sultan ◽

N. Balakrishnan

Keyword(s):

Order Statistics ◽

Pareto Distribution ◽

Higher Order ◽

Approximate Inference ◽

Higher Order Moments ◽

Moments Of Order Statistics

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Advances in Stochastic Simulation MethodsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Birkhäuser Boston

On the Criteria for Experimental Design in Nonlinear Error-In-Variables Models

D-Optimal Designs for Quadratic Regression Models

Monte Carlo Algorithms For Neumann Boundary Value Problem Using Fredholm Representation

The Multilevel Method of Dependent Tests

Simple Efficient Estimation for Three-Parameter Lognormal Distributions with Applications to Emissions Data and State Traffic Rate Data

Bias Constrained Minimax Robust Designs for Misspecified Regression Models

A Comparative Study of MV- and SMV-Optimal Designs for Binary Response Models

Selecting from Normal Populations the One with the Largest Absolute Mean: Common Unknown Variance Case

On Generating and Classifying All qn-m-l Regularly Blocked Factional Designs

Higher Order Moments of Order Statistics from the Pareto Distribution and Edgeworth Approximate Inference

Advances in Stochastic Simulation Methods
Latest Publications